- Tytuł:
- Bridging the gap between field experiments and machine learning : the EC H2020 B-GOOD project as a case study towards automated predictive health monitoring of Honey bee colonies
- Autorzy:
-
Alves, Fátima
Matthijs, Severine
Simões, Sandra
Loureiro, João
van Delden, April
van Gennip, Pim
Claeys Boúúaert, David
Williams, James Henty
Dall’Olio, Raffaele
Schoonman, Marten
Sousa, José Paulo
Duan, Xiaodong
Giurgiu, Alexandru I.
Beaurepaire, Alexis
Xu, Mang
Alves da Silva, António
Verbeke, Wim
Dalmon, Anne
van den Bosch, Trudy
Alves, Joana
Freshley, Dana
Streicher, Tabea
De Smet, Lina
Dezmirean, Daniel S.
Castro, Sílvia
Leufgen, Kirsten
Topping, Christopher J.
Ziółkowska, Elżbieta
Mikołajczyk, Łukasz
Schäfer, Marc O.
Filipiak, Michał
Ulgezen, Zeynep N.
Flener, Claude
de Graaf, Dirk C.
Alaux, Cedric
Le Conte, Yves
McVeigh, Adam
Capela, Nuno
Godeau, Ugoline
Valkenburg, Dirk-Jan
Schaafsma, Famke
Kumar, Tarun
Tehel, Anja
Peters, Jeroen
Paxton, Robert J.
Bica, João
Horcicková, Eva
van Dooremalen, Coby
Lopes, Sara
Bencsik, Martin
Moro, Arrigo - Data publikacji:
- 2024
- Słowa kluczowe:
-
data standardization and harmonization
stakeholder involvement in research
work plans and protocols
big data on honey bee colonies
bee data portal
beekeeping
honey bee automated health monitoring
data collection method - Pokaż więcej
- Dostawca treści:
- Repozytorium Uniwersytetu Jagiellońskiego
Artykuł